Yali Du

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 44

Top Topics

Cooperative Games

Nash Equilibrium

Reinforcement Learning

Top Venues

Publications

Stefan Roesch, Stefanos Leonardos, Yali Du
The Selfishness Level of Social Dilemmas. AAMAS (2024)
Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. J. Artif. Intell. Res. 80 (2024)
Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games 16 (2) (2024)
Zhixun Chen, Yali Du, David Mguni
All Language Models Large and Small. CoRR (2024)
Wenxi Wu, Fabio Pierazzi, Yali Du, Martim Brandão
Characterizing Physical Adversarial Attacks on Robot Motion Planners. ICRA (2024)
Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. AAAI (2024)
Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
Aligning Individual and Collective Objectives in Multi-Agent Cooperation. CoRR (2024)
Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. AAAI (2024)
Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang
Human-Guided Moral Decision Making in Text-Based Games. AAAI (2024)
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. CoRR (2024)
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR (2024)
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. AAMAS (2024)
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR (2024)
Ming Yang, Kaiyan Zhao, Yiming Wang, Renzhi Dong, Yali Du, Furui Liu, Mingliang Zhou, Leong Hou U
Team-wise effective communication in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takác
Self-Guiding Exploration for Combinatorial Problems. CoRR (2024)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM (2023)
Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
Cooperative Open-ended Learning Framework for Zero-Shot Coordination. ICML (2023)
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. 319 (2023)
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Reduced Policy Optimization for Continuous Control with Hard Constraints. CoRR (2023)
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Reduced Policy Optimization for Continuous Control with Hard Constraints. NeurIPS (2023)
Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS (2023)
Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll
A human-centered safe robot reinforcement learning framework with interactive behaviors. Frontiers Neurorobotics 17 (2023)
Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. NeurIPS (2023)
Ming Yang, Renzhi Dong, Yiming Wang, Furui Liu, Yali Du, Mingliang Zhou, Leong Hou U
TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. DASFAA (1) (2023)
Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR (2023)
Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du
Stay Moral and Explore: Learn to Behave Morally in Text-based Games. ICLR (2023)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR (2023)
Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du
Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. CoRR (2023)
Yali Du, Joel Z. Leibo, Usman Islam, Richard Willis, Peter Sunehag
A Review of Cooperation in Multi-agent Learning. CoRR (2023)
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS (2023)
Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng
Is Nash Equilibrium Approximator Learnable? AAMAS (2023)
Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS (2023)
Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
Resolving social dilemmas with minimal reward transfer. CoRR (2023)
Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR (2023)
Yali Du
Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions. AAAI (2023)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS (2023)
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR (2023)
Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. CoRR (2023)
Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. CoRR (2023)
Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang
Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR (2023)
Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. CoRR (2023)
Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN (2023)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics 56 (2023)
Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. NeurIPS (2022)